PCA Index Dashboard Examples

This script was last run at 2024-03-17 10:18:18.610520+00:00 (UTC)
In US/Central Time, this is 2024-03-17 05:18:18.610520-05:00

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')

We are just generating a random time serie here.

import pandas as pd
pd.DataFrame({'1': [1, 2, 3, 4, 1, 2, 3, 4]}).plot(title='Shakepeare')

<Axes: title={'center': 'Shakepeare'}>